A goal is crucial for success; without it, you will always miss the mark. Equally important is the roadmap to achieve that success. A product roadmap serves as a strategic document that goes beyond mere feature listing. It articulates the product's direction and vision over time, providing a clear path to follow. The roadmap acts as a guide, facilitating the execution of the product strategy while simultaneously serving multiple goals. By bringing stakeholders together, fostering a shared understanding of the product's strategy and vision, and maintaining focus on priorities, the roadmap becomes a trusted and reliable source of truth for all involved.

When developing a product roadmap, it is important to be mindful of potential pitfalls. Unfortunately, certain mistakes in product roadmaps can have adverse effects, ultimately leading to product failure. What are some of these mistakes that you should avoid?

Mistake # 1: The danger of excessive detail

It is a common occurrence where managers tend to make the mistake of becoming overly specific and including extreme details in the product roadmap. This includes information regarding planned feature development, estimated timelines, and resource allocation. While these details hold significance, it is essential not to overload the product roadmap with them, as it can overwhelm your team.

To achieve maximum effectiveness, prioritize simplicity. Product roadmaps serve as powerful tools for guiding and visualizing progress. However, their power diminishes when burdened with excessive details at every process stage. For a cohesive strategic vision, maintain a simple and focused product roadmap. Emphasize clarity and conciseness to ensure its result.

In my experience, I've seen many managers make this mistake of overwhelming the product roadmap with excessive details. It's easy to get caught up in the nitty-gritty of feature development, timelines, and resources, but to truly guide and empower your team, simplicity is key. A focused and clear product roadmap is what drives real progress and success.
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Michal Počuch, Head of PMO @Cleevio

H2: Mistake # 2: Surrendering to stakeholder demands

While it is rational to value and listen to stakeholders, it is necessary to remember that your primary goal is to achieve product success rather than trying to please other people. Saying yes to every stakeholder request can lead to the unwanted product. Strive to strike a balance between stakeholder input and your product vision to ensure the development of a desirable and successful output.

However, it is important to avoid excluding stakeholders and development experts from the process. When individuals do not have the opportunity to contribute, they are less likely to support the roadmap. Therefore, it is crucial to involve relevant stakeholders and experts to foster ownership and gain broader support. Collaboration and inclusion are key to creating a successful and well-supported product roadmap.

Mistake # 3: Setting a Fixed Roadmap

Too often, companies invest time and effort in crafting their roadmaps, only to abandon them after a few months. This neglect to make necessary adjustments can lead to problems as the product evolves during design and development. A product roadmap serves as a strategic forecast.

To keep it applicable, update it at least once a quarter. This proactive approach will maximize the chances of creating a product roadmap that aligns with your current objectives and effectively visualizes upcoming events or changes.

Mistake # 4: Avoiding the backlog

The product backlog is a great tool that consists of task-level jobs, such as stories and defects. It serves as an internal document primarily for the product and development teams. By simply looking at the backlog, you can see what tasks are next on your development team's to-do list as they work towards executing the big-picture vision outlined in your roadmap.

A disconnected roadmap and backlog can result in inconsistent and wrong product decisions. It is critical to maintain synchronization and regular updates between both. Avoid allowing them to become standalone documents that convey conflicting messages. This requires regularly referencing the roadmap to verify alignment between the prioritized backlog items and the strategic objectives outlined. Additionally, proactively ensure that the backlog remains organized and streamlined at all times.

Cleevio Tip: Keep your product roadmap and backlog in sync by regularly cross-referencing them.

Mistake # 5: Overplanning and over-committing

When confronted with external pressures from competitors, investors, and customers, it can be tempting to become a "yes man" and overload your roadmap with a number of tasks. Yet, this can be a detrimental mistake. Overcommitting to unrealistic expectations and adding too many objectives to your roadmap can lead to inferior results and project delays.

To avoid this mistake, carefully evaluate the feasibility and capacity of your team before adding tasks to the roadmap. Prioritize quality over quantity and ensure the problem aligns with your resources and capabilities. By setting realistic expectations and avoiding overcommitment, you can maintain focus, deliver better outcomes, and avoid unnecessary stress and setbacks.

The takeaway

Creating a successful product roadmap demands careful thought and educated choices. Make your roadmap more effective by avoiding common mistakes and following best practices. To stay on the right track, we recommend utilizing our expertise and reaching out for a consultation.

‍Let's work together to optimize your roadmapping strategy and set the stage for a successful product journey.

Retail business competition in the digital age goes far beyond product and price. The differentiating factor now pivots around the customer experience, where the focus is to acquire, engage and retain customers. Loyalty programs, a crucial component of customer retention strategies, offer tangible ways to deepen the bond between your brand and customers. Delve deeper with us into the different customer loyalty program types and their use for different types of businesses. 

Points-Based Loyalty Programs

One of the most omnipresent loyalty models is the points-based system. This mechanism operates on a simple principle: customers accumulate points based on their purchase value, redeemable for future rewards. 

Retailers with a high frequency of repeat purchases and a diverse product range often find points-based loyalty programs highly effective. They're particularly suited to physical retail stores, supermarkets, and coffee shops, where the simplicity and immediacy of earning points are highly engaging. 

This program is also highly compatible with an omnichannel approach. Customers can accrue and redeem points in-store and online - creating a seamless customer experience.

Tiered Loyalty Programs

Tiered loyalty programs introduce stratification to the rewards structure. These systems provide immediate value upon entry while progressively enhancing benefits as customers climb the loyalty ladder.  

Ideal for businesses offering premium products or services, tiered loyalty programs work well for high-end retail and e-commerce platforms. These businesses typically have longer purchase cycles and high customer lifetime value, making the extended engagement strategy of tiered rewards highly beneficial. The personalized nature of the rewards also aligns well with omnichannel retail, providing consistent benefits across all customer touchpoints.

Subscription-Based Loyalty Programs

This model invites customers to pay an upfront fee, securing exclusive benefits and privileges. Despite the entry fee, these programs can prove enticing when the offered value outweighs the cost.

These programs are particularly suited for e-commerce businesses or retailers with significant online presence, such as Amazon with its Amazon Prime program. A subscription-based program promises exclusivity and additional benefits, including free shipping or early access to products, which are highly valuable for frequent online shoppers. With the appropriate integration, they can also work in an omnichannel setting, providing value wherever the customer interacts with the brand.

Coalition Loyalty Programs

Coalition or partnership programs allow businesses to join forces, providing customers with an expansive rewards ecosystem. Leveraging our comprehensive API integrations, retailers can connect their loyalty programs with potential partners, enabling customers to earn and redeem points across a spectrum of retail and e-commerce experiences. 

A strategic fit for non-competing retail partners with similar target demographics, coalition programs are a win-win for all parties involved. They work smoothly in an omnichannel environment where the participating businesses complement each other's offerings. Coalition programs can significantly enhance the customer experience by providing a more extensive rewards landscape across different retail categories.

Charity-Based Loyalty Programs

Incorporating social responsibility into loyalty programs, charity-based models allow customers to donate a portion of their purchase to a chosen cause - resonating immensely with customers who prioritize philanthropy. 

For brands with strong social responsibility values, charity-based loyalty programs are an excellent choice, whether in traditional retail, e-commerce or an omnichannel model. By allowing customers to contribute to a cause they care about, these programs create emotional bonds, fostering customer loyalty while making a positive social impact.

Support this noble initiative with Loyaltee, enabling you to automate the allocation and donation process while keeping customers informed about the impact of their contributions. 

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Customer loyalty programs are not merely points-and-rewards initiatives - they are strategic tools that elevate customer engagement, driving long-term business growth. By leveraging loyalty solutions, retailers can harness this potential, delivering exceptional customer experiences while building enduring customer relationships. 

Cleevio's Loyaltyee's versatility allows retailers and e-commerce players to customize these loyalty program models or even blend them to create a unique system that aligns with their brand ethos and customer demographics. By leveraging robust data analytics, our solution provides valuable insights into customer behavior, enabling you to fine-tune your programs for the best business results.

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Explore these loyalty programs and unlock the next level of your success.

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Maybe you’ve experienced something similar. You launch a new product with a great initial response, but as time goes on, interest fades and demand stagnates, or worse, declines. On the surface, everything seems fine - you have website visitors, an acceptable bounce rate, and leads coming in. However, the critical issue remains: conversions and revenue are lacking.

Perhaps you dismiss it with a thought, 'Well, that only happens to amateurs.' However, this scenario is not exclusive to inexperienced players. It occurred even for a well-financed start-up, backed by venture capital funds and headquartered in Silicon Valley.

With one of our projects, three years in the market, and a nearing 500k user base, it was steadily growing - until it wasn't. They decided to seek a partner who could assist them in addressing this situation. We collaborated with them to develop a comprehensive plan for sustainable revenue growth. To ensure the best possible outcome, we utilized the Product Discovery Process. The result? The impact was indeed remarkable. After implementing the insights gained from our Product Discovery Process, their revenue surged by an astounding 17 times in just one month.

Laying the Foundation with Product Analysis

Jointly with the client, we delved into an in-depth product analysis to identify the key issues we needed to address. We reconsidered the core problem and evaluated the product’s functionalities. Then, we closely examined the rationale behind certain features and their alignment with the business value. All this was done by analyzing a pile of contextual and non-contextual data generated through users’ interaction with the product in the previous period. Additionally, we used a product canvas that revealed significant areas of misalignment within the product.

It became evident that 3 main areas demanded immediate attention:

Unfocused and Overwhelming Offer: Despite effectively addressing multiple user pain points, the innovative product suffered from excessive features, which dimmed its unique selling proposition and caused confusion among users.

Lengthy Conversion Funnel: The user journey from initial engagement to conversion proved excessively long, with too many options in each step of the funnel and a lack of clear and engaging information that would take the user to the final destination - conversion.

Non-transparent Offer and Pricing Model: The placement of the payment gateway disrupted the user flow toward conversion, while the subscription-based pricing model contradicted the product’s value proposition, requiring adjustments for better clarity and alignment.

Time for Market and Competition Research

Next, we delved into comprehensive research on the market ecosystem and competition. Our primary objective was to understand how our client's product compared to others in the market. We identified direct and indirect competitors, while also studying the successes and, more importantly, the failures of similar products. This competitor's analysis enabled us to find market gaps and strategically position our client's product.

Developing Hypotheses, Mapping User Journeys, and Segmenting Users

With practical insights gained from our initial analysis, market research, and competition analysis, we created hypotheses for the improvements we aimed to test with users. This involved mapping user journeys for key functionalities, considering different user segments. By identifying pain points, bottlenecks, and areas for enhancement, we streamlined the overall user experience.

Going for Usability Testing

We believe that user-centric design is the key to digital success; therefore, we conducted rigorous testing to ensure that our client's product met the highest usability standards. By observing users interacting with the prototype we designed to address the key issues and by gathering feedback, and validating it against our hypotheses, we pieced together the puzzle gaining a clear understanding of the necessary implementation steps to achieve our main objective: revenue growth.

Setting Priorities and Planning the Roadmap of Implementation

Using the outcomes from our analytics, research, and usability testing, we refined and confirmed the necessary changes in terms of unique selling proposition, user journeys, user experience, and pricing model. These changes were transformed into a roadmap and subsequent backlog items for our engineering and design teams to begin implementation and delivery. The timeline was clear: we had two months to elevate the product by incorporating all the proposed changes.

… and success!

We implemented all the changes within the planned time frame and relaunched the new version of the product without any additional costs for marketing or PR activities. After the first month, we assessed the performance results, and the outcome was truly astounding: a 1,700% increase in product revenue.

The success achieved through the Product Discovery Process is a testament to the power of a strategic and user-centric approach to digital product development. By conducting market and competition research testing, user journey mapping, usability testing, and pricing model adjustments, we delivered a product that resonated strongly with the target audience, resulting in an amazing 17-fold increase in revenue within a month.

Learn more about the discovery process with a free ebook, "The Digital Entrepreneur’s Holy Grail: Essential Topics for Startup Victory." 

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Success requires a well-crafted plan. And to develop such a plan, companies rely on the invaluable insights and data gathered through the implementation of a product discovery process. This process entails comprehending customer needs, market trends, and technological advancements, resulting in products that genuinely resonate with users. However, even experienced product teams can unwittingly encounter common traps that hinder the effectiveness of the discovery process. In this article, we aim to shed light on these prevalent mistakes and offer practical insights on how to avoid them.

Focusing solely on the product & ignoring customer needs

The most common mistake during product discovery is placing excessive emphasis on the product itself and losing sight of the bigger picture. Instead of fixating on the intricacies and desired product functionalities, it's crucial to prioritize understanding your target audience and their specific needs and pain points. Neglecting your users can be a detrimental mistake that sets you up for failure. A product cannot thrive in a competitive market without a user-centric approach.

Effective customer research encompasses a range of methods, including in-depth interviews, surveys, market analysis, and user testing. By actively engaging customers in the discovery process, you can convey an in-depth understanding of their problems, desired outcomes, and expectations for a solution. This valuable insight acts as a guiding compass for product development, informing decisions regarding features, functionalities, and overall product strategy.

Not understanding what the real problem is

Without a clear understanding of the real problem, you risk investing time and resources in building solutions that miss the mark and fail to provide the desired value to customers. This misstep can lead to a disconnect between the product and the target market's needs, resulting in low adoption rates and limited success. Furthermore, it creates an opportunity for competitors to seize the moment and offer the right solution at the right time.

Avoiding this mistake is easily achievable through detailed research and customer interviews. Neglecting market research can cause potential opportunities to be overlooked and increase the likelihood of failure. Without proper investigation, you are left operating on assumptions and guesswork.

Not involving technical team

Let's be realistic. While imagination is essential, it's highly important to find someone who can assess if your plans are grounded in reality. This is where the technical team and experts play a vital role, offering valuable insights into user behavior, how customers interact with your products, and which features they would like to see further developed. The technical team includes engineers, coders, designers, and other experts who possess in-depth knowledge of the system you aim to produce. Their understanding ensures a comprehensive grasp of the inner workings and intricacies of the product.

‍Your technical team is not the only group of experts you require. Underestimating the need for experts in the product discovery process can be a critical oversight. At Cleevio, we recognize that generating an innovative product goes beyond having a good idea. It demands a process of dedicated focus, efficient learning, and continuous validation to guarantee the delivery of exceptional value to our clients. We crafted our approach to pinpoint the highest value we can offer to customers facing specific and significant challenges. Simultaneously, we aim to minimize risks, accelerate time-to-market, and maximize your financial investment.

What sets apart a successful product from one that fails in the market? It’s the underestimated significance of preparation and, most importantly, the discovery phase. Unfortunately, many companies fail to prioritize the crucial task of discovering their users’ needs. Consequently, they often end up developing products with mere „nice to have“ features rather than delivering something essential to their customers. It comes as no surprise that a staggering 63% of all new tech businesses in the US experience failure within the first 5 years.

Meeting Customers' Needs for Competitive Success

That may be unfortunate for them, but it presents a fantastic opportunity for you. Gain a competitive advantage by incorporating in-depth research and implementing product discovery into your decision-making process.

During the discovery phase, we identify the best value we can offer to your customers facing specific and significant challenges. This approach aims to minimize risks, accelerate time-to-market, and maximize your financial investment. How do we achieve this? By dedicating time to comprehending the market, trends, and most importantly, customer needs. We then pinpoint the major pain points and define an optimal solution that aligns with clients' expectations and budget.

Best Time for Product Discovery

The right time to consider the discovery phase is when your products and services no longer align with the company's mission or underperform. It's time to initiate a change by analyzing customer usage data, staying abreast of industry trends, and mastering the craft of delivering products on time and within budget.

Strategic companies proactively avoid pitfalls by prioritizing the implementation of the discovery phase before product development. By doing so, businesses can achieve significant cost reductions of 30-40% in development and operations. Gain valuable insights into industry best practices through our ebook, "The Digital Entrepreneur’s Holy Grail: Essential Topics for Startup Victory."

Key Learnings For You

By implementing the right discovery strategy, you can mitigate numerous risks through a well-executed discovery phase, such as avoiding misalignment with customer needs, streamlining user experience by eliminating excessive features and ensuring sustainable product growth.

To achieve this, prioritize understanding customer needs, staying informed about industry trends, engaging in meaningful discussions with your tech team, testing user prototypes, and establishing a realistic business model. And remember, you don’t have to face it alone. By choosing the right partner, you can simplify the entire process and pave the way for smoother execution.

What is next? Read our ebook, "The Digital Entrepreneur’s Holy Grail: Essential Topics for Startup Victory" or reach out to our team for more information.

As a company committed to innovation and creativity, we were thrilled to co-host our first-ever hackathon last weekend. Over the course of the event, we witnessed incredible teamwork, problem-solving, and out-of-the-box thinking, as participants worked tirelessly to bring their ideas to life. We were blown away by the talent and passion of all those involved and are excited to share some of the highlights from this unforgettable weekend.

The Ultimate Goal

At the Prague AI Hackathon, we focused on creating a collaborative and engaging environment by prioritizing social impact, participants' education, and networking. We aimed to explore the potential of AI models and how to apply them to real-world problems.

Through teamwork and innovation, participants pushed beyond their limits and developed creative solutions to the challenges presented.

We sought to not only push the limits of AI models but also to create an impact on society. The participants' innovative solutions had the potential to make a real difference in people's lives.

See for yourself!

Presenting the Winners: Worwio

The winning solution at the Prague AI Hackathon was a tool that utilized deep learning models to create an audio track for a video in the selected tool. By employing advanced signal processing techniques and leveraging the power of AI, the tool automatically generates high-quality audio in a chosen language that is perfectly synchronized with the original video.

The tool's intelligent algorithms were able to analyze the video's content and generate a suitable translated audio track based on the context, resulting in a seamless and immersive viewing experience for the end users.

Conclusion

We believe the Prague AI Hackathon was a successful event that focused on creating an environment of innovation and creativity by prioritizing social impact, education, and networking. The participants worked tirelessly to develop creative solutions to real-world problems using AI models and showcased the potential of AI models and how to use them to create a positive impact on society.

The corporate landscape is experiencing a transformative shift with the integration of Large Language Models (LLMs) such as OpenAI's GPT-4. These AI-driven tools offer specific, tangible benefits in cost reduction, employee onboarding, and enhancing workplace experiences. In this article, we delve into real-world examples that demonstrate how LLMs are transforming the corporate environment.

Cost Reduction Through LLMs

Automating Customer Service

LLMs are being employed to handle customer inquiries more efficiently. For instance, the use of chatbots powered by GPT-4 can provide quick, accurate responses to customers' questions, resulting in decreased waiting times and a reduced need for human customer service agents.

Enhancing Content Creation

LLMs can generate high-quality content at a fraction of the cost of traditional copywriting services. Businesses can utilize AI-generated content for marketing campaigns, social media updates, and website copy, significantly reducing content creation costs.

Supply Chain Optimization

LLMs can analyze vast amounts of data to identify patterns, trends, and anomalies, enabling companies to optimize their supply chains. Early adopters who have successfully implemented AI-enabled supply-chain management have experienced improvements in logistics costs by 15 percent, inventory levels by 35 percent, and service levels by 65 percent compared with slower-moving competitors.¹ For example, Walmart uses AI to manage its vast inventory, resulting in reduced waste, lower storage costs, and improved customer satisfaction.²

Route Optimization for Transportation

Companies like UPS are leveraging AI to reduce costs by planning the most efficient routes for their fleets. UPS uses its proprietary AI-driven system, ORION (On-Road Integrated Optimization and Navigation), to analyze numerous data points and determine the optimal route for drivers. This has resulted in significant reductions in fuel consumption, vehicle maintenance expenses, and overall delivery times.³

Since ORION’s initial deployment, it has saved UPS about 100 million miles and 10 million gallons of fuel per year.⁴

Revolutionizing Employee Onboarding

Customized Training Solutions

LLMs can help create personalized onboarding experiences that cater to each employee's unique needs. For instance, Amazon uses AI to tailor individual training programs for warehouse employees, ensuring they are equipped with the skills and knowledge required for their specific role and continuously tracking how each employee performs. ⁵‍

Intelligent Assistance

New employees can benefit from AI-driven virtual assistants that offer support and guidance throughout the onboarding process. IBM's Watson Assistant, for example, provides personalized answers to employees' questions and helps them navigate company systems and procedures.⁶‍

Elevating the Employee Experience

Collaborative Tools

LLMs can help improve cross-team collaboration by breaking down language barriers and summarizing complex information. For example, tools like Google Translate & DeepL use AI to provide real-time language translation, enabling teams from diverse backgrounds to communicate and collaborate seamlessly.

Workflow Optimization

LLMs can analyze employees' daily tasks to identify bottlenecks and inefficiencies. This data-driven approach allows for better allocation of resources and more streamlined workflows. For example, JPMorgan Chase & Co. implemented its AI system, COIN, to analyze and extract relevant data from legal documents, saving countless hours of manual work.⁷

Mental Health and Well-being Support

LLMs can be used to create AI-driven well-being solutions, such as mood trackers and stress management tools. For example, Headspace, a popular meditation app, employs AI to provide personalized recommendations and content, fostering better mental health and work-life balance.⁸

Conclusion

LLMs are more than just a technological advancement; they represent a paradigm shift in the way businesses operate. By providing specific, real-world applications, LLMs can effectively reduce costs, streamline employee onboarding, and elevate the workplace experience. As AI technology continues to evolve, businesses that leverage the full potential of LLMs will stay ahead of the curve, maximizing efficiency, productivity, and employee satisfaction.

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1. https://www.mckinsey.com/industries/metals-and-mining/our-insights/succeeding-in-the-ai-supply-chain-revolution?ssp=1&darkschemeovr=0&setlang=en-XL&safesearch=moderate
2. https://hbr.org/2022/11/how-walmart-automated-supplier-negotiations?ssp=1&darkschemeovr=0&setlang=en-XL&safesearch=moderate
3. https://www.forbes.com/sites/blakemorgan/2018/09/17/5-examples-of-how-ai-can-be-used-across-the-supply-chain/?ssp=1&darkschemeovr=0&setlang=en-XL&safesearch=moderate&sh=1a7ceac0342e
4. https://about.ups.com/us/en/newsroom/press-releases/innovation-driven/ups-to-enhance-orion-with-continuous-delivery-route-optimization.html?ssp=1&darkschemeovr=0&setlang=en-XL&safesearch=moderatehttps://about.ups.com/us/en/newsroom/press-releases/innovation-driven/ups-to-enhance-orion-with-continuous-delivery-route-optimization.html
5. https://www.theverge.com/2019/4/25/18516004/amazon-warehouse-fulfillment-centers-productivity-firing-terminations
6. https://www.ibm.com/watson/empower-workforce-ai-full/
7. https://d3.harvard.edu/platform-rctom/submission/jp-morgan-coin-a-banks-side-project-spells-disruption-for-the-legal-industry/?ssp=1&darkschemeovr=0&setlang=en-XL&safesearch=moderate
8. https://www.businesswire.com/news/home/20220112005244/en/Headspace-Health-Announces-Acquisition-of-AI-Driven-Mental-Health-and-Wellness-Company-Sayana?ssp=1&darkschemeovr=0&setlang=en-XL&safesearch=moderate

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Let us introduce Forestry - a GitHub repository - the very first open-source logging framework for Swift projects developed by Cleevio. By leveraging the power of open-source solutions, Forestry integrates most of the market-leading cloud logging services, providing developers with a versatile logging tool for their iOS projects.

Supporting open-source

At Cleevio, we believe that open-source solutions can be beneficial for everyone. By making software code publicly available, everyone can harness the power of collaboration and innovation to create better, more reliable solutions.

With open-source software, you are not limited to a single development team or organization. Instead, you can benefit from the collective intelligence of a diverse, global community of developers, all working together to create something great. Who would not support that?!

By creating our own open-source project, we hope to show that we're committed to quality, innovation, and engagement. Ultimately by embracing open-source solutions, we're not just creating better software. We are building stronger communities and driving progress in the tech industry. Giving back to the community is important to us, as we ourselves rely on several open-sourced libraries.

Meet Forestry

Our team envisioned a versatile logging framework for iOS projects that could easily cater to specific logging needs. We aimed to facilitate seamless switching between logging services without disrupting the existing codebase.

Forestry integrates most of the market-leading cloud logging services. To name a few, we support Datadog, Sentry, and Logrocket. Written entirely in Swift, it uses SPM for dependency management and is licensed under the MIT license.

We focused on making the library easily extensible so that anyone can add integration with their preferred logging service fast and be production-ready in just a few hours.

A typical workflow with Forestry involves using console logging for development, a cloud logging solution like Datadog for QA testing, and finally, using Sentry for error logging in production. This enables our team to quickly debug all issues without spending time integrating these tools.

The mentioned workflow will be implemented as follows:

You can always expand the functionality by creating your own logging service by conforming to the LoggerService protocol. ForestryLoggerLibrary documentation

Also! Everyone can rest easy, we have covered the whole ForestryLoggerLibrary with tests, so we are sure every event is delivered.

Conclusion

If you're looking for a powerful and user-friendly logging tool for not only iOS projects, Forestry is a fantastic choice. With its straightforward setup and smooth transition between logging services, Forestry is an easy-to-use solution that can significantly enhance your logging capabilities. What's more, its extensible architecture allows developers to add new logging services quickly, saving them time and effort.

We're always looking to improve, so If you manage to try it - please take a moment to share your feedback with us.

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As a company that strongly believes in the importance of community building, we were thrilled to have the opportunity to showcase and discuss some of the most exciting developments in this field. The AI community is a vibrant and dynamic group of researchers, developers, and enthusiasts dedicated to pushing the boundaries of what is possible with AI.

In-person discussions within the AI community have been focused on three main themes that have generated significant interest and engagement online in recent months. These themes include the ethics of AI, the impact of AI on the labor market, and the practical applications of this powerful tool in real-world settings.

The potential of AI in a Wide Range of Applications

What makes AI so special is its ability to understand the nuances of language and generate contextually appropriate responses. This technology is increasingly being used in a wide range of applications, such as chatbots and virtual assistants, making our interactions with technology more seamless and natural. 

“OpenAI and AI, in general, have the potential to be powerful tools and great assistants in tackling some of the most pressing challenges facing our world today, varying from healthcare to automotive. These technologies are transforming industries, unlocking new opportunities for growth and development and positively impacting human lives.” - David Zadražil, CTO at Cleevio

Addressing Ethical Concerns in AI Development and Use

It is important to recognize that AI is not without its challenges, and the community noticed that. One of the most significant challenges is ensuring that AI is developed and used ethically. There is a growing awareness of the potential risks caused by AI, such as perpetuating bias, data vulnerability, or AI being used for malicious purposes. 

According to AI statistics, 52% of consumers do not believe AI will protect their private information. (Blumberg Capital)

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The community discussed the need for transparency, which is currently offered scarcely in learning data and training models. This could help to minimize harmful speech, usually referred to as one of the issues. Resulting in the need for ethical guidelines and frameworks to ensure that AI is used responsibly and beneficially.

And they are not the only ones mentioning some form of proper research and regulation. An open letter has been signed by several prominent AI researchers — and Elon Musk — urging AI labs worldwide to halt the advancement of large-scale AI systems. The signatories argue that such software carries significant dangers to humanity and society. Appealing that caution is necessary. Signatories include Apple co-founder Steve Wozniak, Skype co-founder Jaan Tallinn, and a number of well-known AI researchers and CEOs.

AIs Impact on the Labor Market

One of the mentioned key effects of AI on society is the change in the labor market - especially in job roles that involve repetitive and routine tasks. With the development of AI technologies such as ChatGPT, which can automate customer service interactions and generate content, some jobs may become redundant, while new roles that require skills such as data analysis and machine learning will be created. Administrative workers are expected to be most affected, compared to the “little effect” seen on physically demanding or outdoor occupations, such as construction and repair work.

50% of the consumers believe people are already losing jobs and are being replaced by computers. (Blumberg Capital)

The rise of AI is also changing the way people work, with many companies adopting remote working models and leveraging AI tools to improve collaboration and productivity. As the field of AI continues to evolve, individuals and organizations need to adapt and upskill to remain relevant in the changing job market, from which 85 million jobs will be eliminated and 97 million new ones created thanks to AI by 2025. That’s an overall addition of 12 million jobs. (World Economic Forum)

Conclusion

That being said, we believe the AI community is and will remain a driving force behind some of the most exciting developments today. To stay relevant and competitive, we would suggest curiosity above everything else. With AI becoming more integrated into our daily lives, we must continue to develop and use this technology smartly and responsibly. As we continue to explore the possibilities of AI, we have the potential to transform our businesses in ways we never thought possible.

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If you want to attend the next community event focused on AI, follow us on social media and stay tuned for more.

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Data and statistics found in the article can be found in Blumberg Capitals 2022 AI Survey. 

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